terms: - term: "gb10" full_name: "NVIDIA GB10 Superchip" definition: | System-on-chip combining an NVIDIA Grace CPU and Blackwell GPU connected via NVLink-C2C. The core silicon in the Dell Pro Max GB10 and NVIDIA DGX Spark. unit: null typical_range: null related_terms: ["grace-blackwell", "superchip", "nvlink-c2c"] related_topics: ["gb10-superchip"] - term: "grace-blackwell" full_name: "Grace Blackwell Architecture" definition: | NVIDIA's combined CPU+GPU architecture pairing a Grace ARM CPU with a Blackwell GPU via NVLink-C2C coherent interconnect. unit: null typical_range: null related_terms: ["gb10", "blackwell-gpu", "grace-cpu"] related_topics: ["gb10-superchip"] - term: "superchip" full_name: "Superchip" definition: | NVIDIA's term for a system-on-chip that integrates both CPU and GPU dies on a single package with high-bandwidth interconnect. unit: null typical_range: null related_terms: ["gb10", "soc"] related_topics: ["gb10-superchip"] - term: "soc" full_name: "System-on-Chip" definition: | An integrated circuit that combines multiple components (CPU, GPU, memory controller, I/O) on a single die or package. unit: null typical_range: null related_terms: ["gb10", "superchip"] related_topics: ["gb10-superchip"] - term: "cortex-x925" full_name: "ARM Cortex-X925" definition: | ARM's high-performance CPU core design (ARMv9.2 architecture). The GB10 contains 10 of these as its "big" cores. unit: null typical_range: null related_terms: ["cortex-a725", "gb10"] related_topics: ["gb10-superchip"] - term: "cortex-a725" full_name: "ARM Cortex-A725" definition: | ARM's efficiency-focused CPU core design (ARMv9.2 architecture). The GB10 contains 10 of these as its "LITTLE" cores. unit: null typical_range: null related_terms: ["cortex-x925", "gb10"] related_topics: ["gb10-superchip"] - term: "blackwell-gpu" full_name: "NVIDIA Blackwell GPU" definition: | NVIDIA's GPU architecture generation. In the GB10, it provides 6,144 CUDA cores and 5th-gen Tensor Cores. unit: null typical_range: null related_terms: ["cuda-core", "tensor-core", "gb10"] related_topics: ["gb10-superchip"] - term: "cuda-core" full_name: "CUDA Core" definition: | NVIDIA's basic parallel processing unit for general-purpose GPU computing. The GB10 has 6,144 CUDA cores. unit: "cores" typical_range: "6,144 in GB10" related_terms: ["blackwell-gpu", "tensor-core"] related_topics: ["gb10-superchip"] - term: "tensor-core" full_name: "Tensor Core (5th Generation)" definition: | Specialized GPU cores for matrix multiply-accumulate operations, critical for deep learning inference and training. 5th-gen Tensor Cores in Blackwell support FP4, FP8, FP16, and other precisions. unit: "cores" typical_range: null related_terms: ["blackwell-gpu", "fp4", "fp8"] related_topics: ["gb10-superchip", "ai-workloads"] - term: "nvlink-c2c" full_name: "NVLink Chip-to-Chip" definition: | NVIDIA's proprietary die-to-die interconnect connecting the Grace CPU and Blackwell GPU within the GB10 superchip. Provides 600 GB/s bidirectional bandwidth and enables unified coherent memory. unit: "GB/s" typical_range: "600 GB/s bidirectional" related_terms: ["gb10", "unified-memory"] related_topics: ["gb10-superchip", "memory-and-storage"] - term: "unified-memory" full_name: "Unified Coherent Memory" definition: | Memory architecture where CPU and GPU share the same physical memory pool with hardware cache coherence. Eliminates explicit host-device memory copies. In the GB10, both processors see the full 128 GB. unit: "GB" typical_range: "128 GB in GB10" related_terms: ["lpddr5x", "nvlink-c2c"] related_topics: ["memory-and-storage", "gb10-superchip"] - term: "lpddr5x" full_name: "Low-Power DDR5X" definition: | Latest generation of low-power DRAM. In the GB10, runs at up to 9,400 MT/s providing 273 GB/s of memory bandwidth. unit: "MT/s" typical_range: "9,400 MT/s in GB10" related_terms: ["unified-memory"] related_topics: ["memory-and-storage"] - term: "tflops" full_name: "Tera Floating-Point Operations Per Second" definition: | Unit of compute performance. 1 TFLOPS = 10^12 floating-point operations per second. ALWAYS specify the precision (FP4, FP8, FP16, FP32) when quoting TFLOPS figures. unit: "TFLOPS" typical_range: "1,000 TFLOPS FP4 for GB10" related_terms: ["pflop", "fp4"] related_topics: ["gb10-superchip", "equations-and-bounds"] - term: "pflop" full_name: "Peta Floating-Point Operations Per Second" definition: | 1 PFLOP = 1,000 TFLOPS = 10^15 floating-point operations per second. The GB10's headline figure is 1 PFLOP at FP4 precision. unit: "PFLOP" typical_range: "1 PFLOP FP4 for GB10" related_terms: ["tflops", "fp4"] related_topics: ["gb10-superchip", "equations-and-bounds"] - term: "fp4" full_name: "4-bit Floating Point" definition: | Ultra-low precision numerical format using 4 bits per value. Used for quantized inference. The GB10's 1 PFLOP headline is measured at FP4 precision. unit: "bits" typical_range: null related_terms: ["fp8", "fp16", "quantization", "tflops"] related_topics: ["ai-workloads", "equations-and-bounds"] - term: "fp8" full_name: "8-bit Floating Point" definition: | Low-precision numerical format using 8 bits per value. Common for quantized LLM inference with good accuracy/performance tradeoff. unit: "bits" typical_range: null related_terms: ["fp4", "fp16", "quantization"] related_topics: ["ai-workloads", "equations-and-bounds"] - term: "fp16" full_name: "16-bit Floating Point (Half Precision)" definition: | Standard training precision for many deep learning models. Good balance of range, precision, and memory efficiency. unit: "bits" typical_range: null related_terms: ["fp4", "fp8", "fp32"] related_topics: ["ai-workloads", "equations-and-bounds"] - term: "quantization" full_name: "Model Quantization" definition: | Technique for reducing model memory footprint by using lower-precision number formats (FP4, FP8, INT4, INT8) for model weights. Enables running larger models in limited memory at some accuracy cost. unit: null typical_range: null related_terms: ["fp4", "fp8", "parameter-count"] related_topics: ["ai-workloads"] - term: "parameter-count" full_name: "Model Parameter Count" definition: | The number of trainable weights in a neural network, typically expressed in billions (B). Determines memory requirements and roughly correlates with model capability. unit: "billions (B)" typical_range: "7B-200B on single GB10, up to 400B stacked" related_terms: ["quantization", "unified-memory"] related_topics: ["ai-workloads", "memory-and-storage"] - term: "dgx-os" full_name: "NVIDIA DGX OS 7" definition: | NVIDIA's customized Linux distribution based on Ubuntu 24.04 LTS. Includes pre-configured GPU drivers, CUDA toolkit, and platform optimizations for DGX/DGX Spark hardware. unit: null typical_range: null related_terms: ["ubuntu", "cuda"] related_topics: ["dgx-os-software"] - term: "dgx-spark" full_name: "NVIDIA DGX Spark" definition: | NVIDIA's own-branded desktop AI computer using the GB10 superchip. Same hardware as the Dell Pro Max GB10, different branding and support channel. Priced at $2,999. unit: null typical_range: null related_terms: ["gb10"] related_topics: ["skus-and-pricing"] - term: "connectx-7" full_name: "NVIDIA ConnectX-7 SmartNIC" definition: | High-performance network interface card integrated into the Dell Pro Max GB10. Provides 2x QSFP 200 Gbps ports, primarily used for multi-unit stacking. unit: "Gbps" typical_range: "200 Gbps per port" related_terms: ["qsfp", "smartnic"] related_topics: ["connectivity", "multi-unit-stacking"] - term: "qsfp" full_name: "Quad Small Form-factor Pluggable" definition: | High-speed networking connector standard. The Dell Pro Max GB10 has 2x QSFP ports supporting 200 Gbps each via ConnectX-7. unit: "Gbps" typical_range: "200 Gbps per port in GB10" related_terms: ["connectx-7"] related_topics: ["connectivity", "multi-unit-stacking"] - term: "smartnic" full_name: "Smart Network Interface Card" definition: | Network adapter with onboard processing capability for offloading network tasks from the main CPU. The ConnectX-7 in the GB10 is a SmartNIC. unit: null typical_range: null related_terms: ["connectx-7", "qsfp"] related_topics: ["connectivity"] - term: "10gbe" full_name: "10 Gigabit Ethernet" definition: | Standard Ethernet networking at 10 Gbps. The Dell Pro Max GB10 includes one 10GbE RJ45 port for general network connectivity. unit: "Gbps" typical_range: "10 Gbps" related_terms: [] related_topics: ["connectivity"] - term: "pytorch" full_name: "PyTorch" definition: | Open-source deep learning framework. Primary ML framework supported on the GB10 with ARM64-native builds and full CUDA acceleration. unit: null typical_range: null related_terms: ["cuda", "nemo"] related_topics: ["ai-frameworks"] - term: "nemo" full_name: "NVIDIA NeMo" definition: | NVIDIA's framework for building, customizing, and deploying generative AI models. Supports fine-tuning (SFT, RLHF) and is optimized for NVIDIA hardware. unit: null typical_range: null related_terms: ["pytorch", "cuda"] related_topics: ["ai-frameworks"] - term: "rapids" full_name: "NVIDIA RAPIDS" definition: | Suite of GPU-accelerated data science libraries including cuDF (DataFrames), cuML (ML), and cuGraph (graph analytics). Drop-in replacements for pandas, scikit-learn, and NetworkX. unit: null typical_range: null related_terms: ["cuda"] related_topics: ["ai-frameworks"] - term: "cuda" full_name: "Compute Unified Device Architecture" definition: | NVIDIA's parallel computing platform and API for GPU-accelerated computing. Pre-installed on the GB10 via DGX OS. unit: null typical_range: null related_terms: ["cuda-core", "pytorch", "nemo"] related_topics: ["ai-frameworks", "dgx-os-software"] - term: "ngc" full_name: "NVIDIA NGC Catalog" definition: | NVIDIA's hub for GPU-optimized AI software including pre-trained models, containers, SDKs, and Helm charts. unit: null typical_range: null related_terms: ["cuda", "nemo"] related_topics: ["ai-frameworks"] - term: "llama-cpp" full_name: "llama.cpp" definition: | Open-source C/C++ inference engine for running quantized LLMs. Supports ARM-optimized builds for GB10 and GGUF model format. unit: null typical_range: null related_terms: ["quantization"] related_topics: ["ai-frameworks", "ai-workloads"] - term: "fcm1253" full_name: "Dell Pro Max FCM1253" definition: | Dell's model number for the Pro Max with GB10 desktop system. Available in 2TB and 4TB storage configurations. unit: null typical_range: null related_terms: ["gb10"] related_topics: ["skus-and-pricing"] - term: "sed" full_name: "Self-Encrypting Drive" definition: | Storage drive with built-in hardware encryption. Available on the 4TB configuration of the Dell Pro Max GB10. unit: null typical_range: null related_terms: [] related_topics: ["memory-and-storage", "skus-and-pricing"] - term: "tdp" full_name: "Thermal Design Power" definition: | Maximum amount of heat a cooling system must dissipate. The GB10 system TDP is approximately 140W. unit: "watts" typical_range: "~140W for GB10 system" related_terms: [] related_topics: ["physical-specs", "gb10-superchip"] - term: "displayport-alt-mode" full_name: "DisplayPort Alternate Mode" definition: | Protocol allowing DisplayPort video signals to be carried over a USB Type-C connector. Used for display output on the GB10's USB-C ports. unit: null typical_range: null related_terms: ["usb-c", "hdmi"] related_topics: ["connectivity"]